svylogitgof
swMATH ID:  6486 
Software Authors:  Archer, Kellie J.; Lemeshow, Stanley; Hosmer, David W. 
Description:  Goodnessoffit tests for logistic regression models when data are collected using a complex sampling design. Logistic regression models are frequently used in epidemiological studies for estimating associations that demographic, behavioral, and risk factor variables have on a dichotomous outcome, such as disease being present versus absent. After the coefficients in a logistic regression model have been estimated, goodnessoffit of the resulting model should be examined, particularly if the purpose of the model is to estimate probabilities of event occurrences. While various goodnessoffit tests have been proposed, the properties of these tests have been studied under the assumption that observations selected were independent and identically distributed. Increasingly, epidemiologists are using largescale sample survey data when fitting logistic regression models, such as the National Health Interview Survey or the National Health and Nutrition Examination Survey. Unfortunately, for such situations no goodnessoffit testing procedures have been developed or implemented in available software. To address this problem, goodnessoffit tests for logistic regression models when data are collected using complex sampling designs are proposed. Properties of the proposed tests were examined using extensive simulation studies and results were compared to traditional goodnessoffit tests. A Stata ado function svylogitgof for estimating the \(F\)adjusted mean residual test after svylogit fit is available at the author’s website http://www.people.vcu.edu/ kjarcher/Research/Data.htm. 
Homepage:  http://www.people.vcu.edu/~kjarcher/Research/documents/svylogitgof.ado 
Dependencies:  Stata 
Keywords:  goodnessoffit; logistic regression; survey sampling; designbased estimation 
Related Software:  Stata; NIST Statistical Test Suite; MLwiN 
Cited in:  6 Publications 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

Goodnessoffit tests for logistic regression models when data are collected using a complex sampling design. Zbl 1162.62429 Archer, Kellie J.; Lemeshow, Stanley; Hosmer, David W. 
2007

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top 5
Cited by 17 Authors
Cited in 5 Serials
2  Communications in Statistics. Simulation and Computation 
1  The Canadian Journal of Statistics 
1  Applied Mathematics and Computation 
1  Management Science 
1  Computational Statistics and Data Analysis 